{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "64c6ad4a-75ee-4a27-a26c-d45587770078",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "label_size = 18 # Label size\n",
    "ticklabel_size = 14 # Tick label size\n",
    "\n",
    "# Generate moon-shaped data\n",
    "X, Y = make_moons(n_samples=1000, noise=0.4, random_state=42)\n",
    "\n",
    "# Split X and Y into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.scatter(X_train[y_train == 1, 0], X_train[y_train == 1, 1], color='red', label='Positive - Train')\n",
    "ax.scatter(X_test[y_test == 1, 0], X_test[y_test == 1, 1], color='orange', label='Positive - Test')\n",
    "ax.scatter(X_train[y_train == 0, 0], X_train[y_train == 0, 1], color='blue', label='Negative - Train')\n",
    "ax.scatter(X_test[y_test == 0, 0], X_test[y_test == 0, 1], color='green', label='Negative - Test')\n",
    "ax.set_xlabel('Feature 1', fontsize=label_size)\n",
    "ax.set_ylabel('Feature 2', fontsize=label_size)\n",
    "\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set legend fontsize\n",
    "plt.legend(prop={'size': 14})\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "56504477-e215-4205-9f2b-ebe8d313aa7a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Support vector machine trained successfully...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "# Model Definition\n",
    "mdl_svm = SVC(probability=True)\n",
    "\n",
    "mdl_svm.fit(X_train, y_train) # Support Vector machine\n",
    "print('Support vector machine trained successfully...')\n",
    "\n",
    "# Predict probabilities\n",
    "y_proba_svm = mdl_svm.predict_proba(X_test)[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "340af8c1-c9df-4a16-babe-efdd2282addc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "When threshold = 0.00 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.01 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.02 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.03 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.04 - Sensitivity: 1.0000, Specificity: 0.0300\n",
      "When threshold = 0.05 - Sensitivity: 1.0000, Specificity: 0.1000\n",
      "When threshold = 0.06 - Sensitivity: 1.0000, Specificity: 0.1500\n",
      "When threshold = 0.07 - Sensitivity: 1.0000, Specificity: 0.2800\n",
      "When threshold = 0.08 - Sensitivity: 0.9900, Specificity: 0.4300\n",
      "When threshold = 0.09 - Sensitivity: 0.9900, Specificity: 0.4700\n",
      "When threshold = 0.10 - Sensitivity: 0.9800, Specificity: 0.5100\n",
      "When threshold = 0.11 - Sensitivity: 0.9800, Specificity: 0.5500\n",
      "When threshold = 0.12 - Sensitivity: 0.9800, Specificity: 0.6100\n",
      "When threshold = 0.13 - Sensitivity: 0.9700, Specificity: 0.6300\n",
      "When threshold = 0.14 - Sensitivity: 0.9700, Specificity: 0.6600\n",
      "When threshold = 0.15 - Sensitivity: 0.9700, Specificity: 0.6900\n",
      "When threshold = 0.16 - Sensitivity: 0.9700, Specificity: 0.6900\n",
      "When threshold = 0.17 - Sensitivity: 0.9700, Specificity: 0.7000\n",
      "When threshold = 0.18 - Sensitivity: 0.9700, Specificity: 0.7000\n",
      "When threshold = 0.19 - Sensitivity: 0.9600, Specificity: 0.7300\n",
      "When threshold = 0.20 - Sensitivity: 0.9600, Specificity: 0.7400\n",
      "When threshold = 0.21 - Sensitivity: 0.9500, Specificity: 0.7500\n",
      "When threshold = 0.22 - Sensitivity: 0.9500, Specificity: 0.7500\n",
      "When threshold = 0.23 - Sensitivity: 0.9500, Specificity: 0.7500\n",
      "When threshold = 0.24 - Sensitivity: 0.9500, Specificity: 0.7500\n",
      "When threshold = 0.25 - Sensitivity: 0.9300, Specificity: 0.7700\n",
      "When threshold = 0.26 - Sensitivity: 0.9300, Specificity: 0.7700\n",
      "When threshold = 0.27 - Sensitivity: 0.9100, Specificity: 0.7700\n",
      "When threshold = 0.28 - Sensitivity: 0.9000, Specificity: 0.7900\n",
      "When threshold = 0.29 - Sensitivity: 0.9000, Specificity: 0.7900\n",
      "When threshold = 0.30 - Sensitivity: 0.8800, Specificity: 0.7900\n",
      "When threshold = 0.31 - Sensitivity: 0.8800, Specificity: 0.7900\n",
      "When threshold = 0.32 - Sensitivity: 0.8800, Specificity: 0.7900\n",
      "When threshold = 0.33 - Sensitivity: 0.8800, Specificity: 0.8000\n",
      "When threshold = 0.34 - Sensitivity: 0.8800, Specificity: 0.8200\n",
      "When threshold = 0.35 - Sensitivity: 0.8800, Specificity: 0.8200\n",
      "When threshold = 0.36 - Sensitivity: 0.8800, Specificity: 0.8200\n",
      "When threshold = 0.37 - Sensitivity: 0.8800, Specificity: 0.8200\n",
      "When threshold = 0.38 - Sensitivity: 0.8800, Specificity: 0.8300\n",
      "When threshold = 0.39 - Sensitivity: 0.8800, Specificity: 0.8400\n",
      "When threshold = 0.40 - Sensitivity: 0.8800, Specificity: 0.8600\n",
      "When threshold = 0.41 - Sensitivity: 0.8800, Specificity: 0.8600\n",
      "When threshold = 0.42 - Sensitivity: 0.8800, Specificity: 0.8700\n",
      "When threshold = 0.43 - Sensitivity: 0.8700, Specificity: 0.8700\n",
      "When threshold = 0.44 - Sensitivity: 0.8600, Specificity: 0.8700\n",
      "When threshold = 0.45 - Sensitivity: 0.8500, Specificity: 0.8700\n",
      "When threshold = 0.46 - Sensitivity: 0.8500, Specificity: 0.8700\n",
      "When threshold = 0.47 - Sensitivity: 0.8500, Specificity: 0.8700\n",
      "When threshold = 0.48 - Sensitivity: 0.8400, Specificity: 0.8700\n",
      "When threshold = 0.49 - Sensitivity: 0.8400, Specificity: 0.8700\n",
      "When threshold = 0.51 - Sensitivity: 0.8300, Specificity: 0.8700\n",
      "When threshold = 0.52 - Sensitivity: 0.8300, Specificity: 0.8700\n",
      "When threshold = 0.53 - Sensitivity: 0.8300, Specificity: 0.8700\n",
      "When threshold = 0.54 - Sensitivity: 0.8300, Specificity: 0.8700\n",
      "When threshold = 0.55 - Sensitivity: 0.8200, Specificity: 0.8700\n",
      "When threshold = 0.56 - Sensitivity: 0.8200, Specificity: 0.8700\n",
      "When threshold = 0.57 - Sensitivity: 0.8200, Specificity: 0.8700\n",
      "When threshold = 0.58 - Sensitivity: 0.8100, Specificity: 0.8700\n",
      "When threshold = 0.59 - Sensitivity: 0.8100, Specificity: 0.8700\n",
      "When threshold = 0.60 - Sensitivity: 0.8000, Specificity: 0.8800\n",
      "When threshold = 0.61 - Sensitivity: 0.8000, Specificity: 0.8800\n",
      "When threshold = 0.62 - Sensitivity: 0.7900, Specificity: 0.8800\n",
      "When threshold = 0.63 - Sensitivity: 0.7900, Specificity: 0.8800\n",
      "When threshold = 0.64 - Sensitivity: 0.7700, Specificity: 0.8800\n",
      "When threshold = 0.65 - Sensitivity: 0.7700, Specificity: 0.8800\n",
      "When threshold = 0.66 - Sensitivity: 0.7700, Specificity: 0.8800\n",
      "When threshold = 0.67 - Sensitivity: 0.7700, Specificity: 0.8900\n",
      "When threshold = 0.68 - Sensitivity: 0.7700, Specificity: 0.8900\n",
      "When threshold = 0.69 - Sensitivity: 0.7600, Specificity: 0.8900\n",
      "When threshold = 0.70 - Sensitivity: 0.7500, Specificity: 0.9000\n",
      "When threshold = 0.71 - Sensitivity: 0.7300, Specificity: 0.9000\n",
      "When threshold = 0.72 - Sensitivity: 0.7200, Specificity: 0.9000\n",
      "When threshold = 0.73 - Sensitivity: 0.7100, Specificity: 0.9000\n",
      "When threshold = 0.74 - Sensitivity: 0.7000, Specificity: 0.9100\n",
      "When threshold = 0.75 - Sensitivity: 0.7000, Specificity: 0.9100\n",
      "When threshold = 0.76 - Sensitivity: 0.7000, Specificity: 0.9100\n",
      "When threshold = 0.77 - Sensitivity: 0.7000, Specificity: 0.9100\n",
      "When threshold = 0.78 - Sensitivity: 0.6900, Specificity: 0.9100\n",
      "When threshold = 0.79 - Sensitivity: 0.6900, Specificity: 0.9200\n",
      "When threshold = 0.80 - Sensitivity: 0.6800, Specificity: 0.9300\n",
      "When threshold = 0.81 - Sensitivity: 0.6800, Specificity: 0.9400\n",
      "When threshold = 0.82 - Sensitivity: 0.6700, Specificity: 0.9400\n",
      "When threshold = 0.83 - Sensitivity: 0.6500, Specificity: 0.9400\n",
      "When threshold = 0.84 - Sensitivity: 0.6500, Specificity: 0.9500\n",
      "When threshold = 0.85 - Sensitivity: 0.6300, Specificity: 0.9500\n",
      "When threshold = 0.86 - Sensitivity: 0.6300, Specificity: 0.9500\n",
      "When threshold = 0.87 - Sensitivity: 0.6200, Specificity: 0.9600\n",
      "When threshold = 0.88 - Sensitivity: 0.6100, Specificity: 0.9700\n",
      "When threshold = 0.89 - Sensitivity: 0.5800, Specificity: 0.9700\n",
      "When threshold = 0.90 - Sensitivity: 0.5500, Specificity: 0.9900\n",
      "When threshold = 0.91 - Sensitivity: 0.5000, Specificity: 1.0000\n",
      "When threshold = 0.92 - Sensitivity: 0.4500, Specificity: 1.0000\n",
      "When threshold = 0.93 - Sensitivity: 0.3300, Specificity: 1.0000\n",
      "When threshold = 0.94 - Sensitivity: 0.2900, Specificity: 1.0000\n",
      "When threshold = 0.95 - Sensitivity: 0.1900, Specificity: 1.0000\n",
      "When threshold = 0.96 - Sensitivity: 0.1100, Specificity: 1.0000\n",
      "When threshold = 0.97 - Sensitivity: 0.0100, Specificity: 1.0000\n",
      "When threshold = 0.98 - Sensitivity: 0.0000, Specificity: 1.0000\n",
      "When threshold = 0.99 - Sensitivity: 0.0000, Specificity: 1.0000\n",
      "When threshold = 1.00 - Sensitivity: 0.0000, Specificity: 1.0000\n"
     ]
    }
   ],
   "source": [
    "def confusion_matrix(y_pred, y):\n",
    "    '''\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    # Get the number of classes\n",
    "    n_classes = len(np.unique(y))\n",
    "    \n",
    "    # Initialize the confusion matrix with zeros\n",
    "    cm = np.zeros((n_classes, n_classes))\n",
    "    \n",
    "    # Fill the confusion matrix\n",
    "    for pred, actual in zip(y_pred, y):\n",
    "        cm[pred][actual] += 1\n",
    "    \n",
    "    return cm\n",
    "\n",
    "def get_prediction_from_proba(y_proba, threshold=0.5):\n",
    "    '''\n",
    "    y_proba - predict probabilities\n",
    "    threshold - threshold of probability\n",
    "    \n",
    "    y_pred - predict classes, y_proba > threshold is positive, otherwise negative\n",
    "    '''\n",
    "    y_pred = np.where(y_proba > threshold, 1, 0)\n",
    "    return y_pred\n",
    "\n",
    "def get_sensitivity_specificity(y_proba, y, threshold=0.5):\n",
    "    '''\n",
    "    Compute sensitivity and specificity of binary classification\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    threshold - threshold of probability\n",
    "    '''\n",
    "    epsilon = 1e-10\n",
    "    \n",
    "    # Get the confusion matrix\n",
    "    y_pred = get_prediction_from_proba(y_proba, threshold)\n",
    "    cm = confusion_matrix(y_pred, y)\n",
    "    \n",
    "    # Compute sensitivity and specificity\n",
    "    sensitivity = cm[1, 1] / (cm[1, 1] + cm[0, 1] + epsilon)\n",
    "    specificity = cm[0, 0] / (cm[0, 0] + cm[1, 0] + epsilon)\n",
    "    \n",
    "    return sensitivity, specificity\n",
    "\n",
    "# Get predictions from probabilities\n",
    "sen_spec_svm = []\n",
    "for threshold in np.linspace(0, 1, 100):\n",
    "    sensitivity, specificity = get_sensitivity_specificity(y_proba_svm, y_test, threshold)\n",
    "    print(f\"When threshold = {threshold:0.2f} - Sensitivity: {sensitivity:.4f}, Specificity: {specificity:.4f}\")\n",
    "    sen_spec_svm.append([sensitivity, specificity])\n",
    "\n",
    "# Convert to numpy array\n",
    "sen_spec_svm = np.array(sen_spec_svm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2e349504-21ac-40ef-aafe-e36bd84f774b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Use sen_spec_svm to draw specificity-sensitivity curve\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(sen_spec_svm[:, 1], sen_spec_svm[:, 0], marker='.', color='tab:blue', label='SVM Model')\n",
    "ax.set_xlabel('Specificity', fontsize=label_size)\n",
    "ax.set_ylabel('Sensitivity', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_xlim([0, 1.01])\n",
    "ax.set_ylim([0, 1.01])\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig('Specificity_Sensitivity_Curve.png', dpi=300)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "01d9b7ad-34c6-45fa-ae47-c403d4be4104",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Area Under the ROC Curve (AUC): 0.9354\n"
     ]
    }
   ],
   "source": [
    "# Use sen_spec_svm to draw ROC curve\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0], marker='.', color='tab:red', label='SVM Model')\n",
    "ax.plot([0, 1], [0, 1], linestyle='--', color='gray', label='Random Classifier')\n",
    "ax.set_xlabel('False Positive Rate (1 - Specificity)', fontsize=label_size)\n",
    "ax.set_ylabel('True Positive Rate (Sensitivity)', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_xlim([-0.01, 1.00])\n",
    "ax.set_ylim([-0.01, 1.01])\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig('ROC_Curve.png', dpi=300)\n",
    "\n",
    "# Add surface\n",
    "ax.fill_between(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0], color='tab:blue', alpha=0.2)\n",
    "\n",
    "plt.savefig('AUC.png', dpi=300)\n",
    "plt.show()\n",
    "\n",
    "# Calculate AUC\n",
    "from sklearn.metrics import auc\n",
    "roc_auc = auc(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0])\n",
    "print(f\"Area Under the ROC Curve (AUC): {roc_auc:.4f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c10027fd-61ac-4548-b34e-0e496ea719b9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
